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Despite the increased scholarship on sanctuary localities in the United States, there is little research analyzing the factors that lead to the adoption of sanctuary resolutions at the municipal level. Drawing on a new dataset of sanctuary and nonsanctuary cities, we theorize that policy adoption is driven primarily by two factors and their interaction: the size of the foreign-born population and local partisanship. We examine cities that passed sanctuary policies between 2000 and 2018 and compare these localities to nonsanctuaries. Using a novel time series cross-section dataset (TSCS) of all cities and designated places and a Cox proportional hazard model, we find that Democratic-leaning cities with high foreign-born populations predict sanctuary passage, whereas Republican-leaning cities with larger foreign-born populations are unlikely to adopt these policies. We thus find that while partisanship motivates sanctuary policy adoption, at the same time, the size of the foreign-born population also increases the likelihood of passage. [ABSTRACT FROM AUTHOR]

Building upon existing literature, we offer a particular model of network policy diffusion—which we call sustained organizational influence. Sustained organizational influence necessitates an institutional focus across a broad range of issues and across a long period of time. Sustaining organizations are well‐financed, and exert their influence on legislators through benefits, shared ideological interests, and time‐saving opportunities. Sustaining organizations' centralized nature makes legislators' jobs easier by providing legislators with ready‐made model legislation. We argue that sustaining organizations uniquely contribute to policy diffusion in the U.S. states. We evaluate this model with a case study of state‐level immigration sanctuary policy making and the role that the American Legislative Exchange Council (ALEC) played in disseminating model legislation. Through quantitative text analysis and several negative binomial state‐level regression models, we demonstrate that ALEC has exerted an overwhelming influence on the introduction of anti‐sanctuary legislative proposals in the U.S. states over the past 7 years consistent with our particular model of network policy diffusion. Implications are discussed. [ABSTRACT FROM AUTHOR]

This article assesses the claim that sanctuary cities—defined as cities that expressly forbid city officials or police departments from inquiring into an individual's immigration status—are associated with post hoc increases in crime. We employ a causal inference matching strategy to compare similarly situated cities where key variables are the same across the cities except the sanctuary status of the city. We find no statistically discernible difference in violent crime, rape, or property crime rates across the cities. Our findings provide evidence that sanctuary policies have no effect on crime rates, despite narratives to the contrary. The potential benefits of sanctuary cities, such as better incorporation of the undocumented community and cooperation with police, thus have little cost for the cities in question in terms of crime. [ABSTRACT FROM AUTHOR]

We evaluate a theory of campaign learning in the context of immigration and the 2012 Latino vote. Following events in Nevada and Arizona after the 2008 election and prior to the 2012 election, we argue and show that Obama's campaign team learned from several Democratic U.S. Senate campaigns in how best to mobilize the Latino vote on the issue of immigration. As a result, we argue, this campaign learning led to an increase in the Latino vote for Obama. To demonstrate this, we compare a group-based appeals model against a traditional vote-choice model, and show that variables measuring Latino Outreach had the greatest impact on the 2012 Latino vote – above and beyond party identification and other traditional vote-choice predictors. [ABSTRACT FROM AUTHOR]

Traditional vote-choice models include variables such as party identification, assessments of the economy, as well as other demographic characteristics. We argue that variables that tap shared racial/ethnic identity or some such similar dimension can enhance Latino vote-choice models beyond the traditional model. We evaluate Barack Obama and Mitt Romney's cross-racial mobilization of Latino voters during the 2012 Presidential election. Using a survey of several thousand Latino voters, we find that these candidates' policy stances vis-a-vis immigration and their ability to convey care and concern to the Latino community are important variables that guide Latino vote choice. Implications are discussed. [ABSTRACT FROM AUTHOR]

The importance of the Latino electorate has been the subject of both academic inquiry and media discourses. The question of Latino influence is frequently limited by an approach that focuses on single variable considerations (e.g., voter turnout or ethnic-targeted campaign spending) that are often contest-specific idiosyncrasies. Relying on theoretically appropriate concepts, the authors measure Latino political influence as a function of three factors: in-group population traits, electoral volatility, and mobilization. Using the 2008 presidential election, the authors demonstrate the utility of incorporating a multifaceted measure that accounts for the contemporary complexity within the electoral environment. Because this framework is rooted in theoretical concepts, as opposed to discrete group or contest characteristics, it may be applied to any “influence group” in different electoral settings. Data are culled from several publicly available outlets, making it possible for scholars to replicate these measures and further investigate questions associated with group influence in American politics. [ABSTRACT FROM PUBLISHER]